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  1. SINGLE EVENTS. precise de nition requires high-level mathematics intuitive de nition is that probability of a single event is the ratio of the number of possible outcomes that include the event to the total number of possible outcomes.

  2. This simplistic dictionary definition of the probable quality attached to an event is unanimously accepted in current speech. Far from standing for a rigorous definition, this enunciation still gives evidence for the quantitative and measurement aspect of the probability concept because the chance of an event occurring is

  3. The absolute risk is the probability of an event in a sample or population of interest. The relative risk (RR) is the risk of the event in an experimental group relative to that in a control group. The odds ratio (OR) is the odds of an event in an experimental group relative to that in a control group.

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  4. To summarize, the probability that an event happens is the number of outcomes that qualify as that event (i.e. the number of ways the event could happen) compared to the total number of outcomes (i.e. how many things are possible).

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  5. For example, to see how the gambler’s fallacy affects people, consider a situation where we just rolled a pair of dice, which both land on 6. The odds of this happening in a fair dice roll are 1/36, since the odds of each die landing on a 6 are 1/6. Here, the gambler’s fallacy could cause someone to assume that the odds

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  6. I. Objectives Introduce the basic concepts of probability theory. Introduce the basic axioms and rules of probability theory. Learn to perform probability computations using counting methods. Understand conditional probability and Bayes’ rule.

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  8. May 16, 2019 · The organization is clear and logical, following the format of most psychological statistics texts. Navigation through the textbook is simple. There is a list of highlighted terms at the beginning of each chapter which are correctly linked to their discussion in the text.

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